---
title: medgemma-27b-it-6bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/medgemma-27b-it-6bit"
md_url: "https://www.modelscope.cn/models/mlx-community/medgemma-27b-it-6bit.md"
repository: mlx-community/medgemma-27b-it-6bit
last_updated: 2025-07-10
license: other
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - gemma3
architectures:
  - Gemma3ForConditionalGeneration
base_model:
  - google/gemma-3-27b-pt
base_model_relation: quantized
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 164
stars: 0
tags:
  - medical
  - x-ray
  - pathology
  - dermatology
  - fundus
  - "radiology report generation"
  - chest-x-ray
  - medical-embeddings
  - image-classification
  - zero-shot-image-classification
  - image-feature-extraction
  - image-text-to-text
  - mlx
---

# medgemma-27b-it-6bit

> medgemma-27b-it-6bit - mlx-community 在 ModelScope 开源的模型。mlx-community/medgemma-27b-it-6bit This model was converted to MLX format from google/medgemma-27b-it using mlx-vlm version 0.3.0. Refer to the original model card for more details on the model. Use…

mlx-community/medgemma-27b-it-6bit 是 ModelScope 魔搭社区上的image-text-to-text模型，采用 other 许可，基于 google/gemma-3-27b-pt 构建，可用 deploy_task vlm/text/emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: mlx-community/medgemma-27b-it-6bit
- **License**: other
- **Tasks**: image-text-to-text
- **Base model**: google/gemma-3-27b-pt
- **Inference backends**: deploy_task vlm/text/emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: medical, x-ray, pathology, dermatology, fundus, radiology report generation, chest-x-ray, medical-embeddings, image-classification, zero-shot-image-classification, image-feature-extraction, image-text-to-text, mlx
- **Downloads**: 164
- **Stars**: 0
- **Last updated**: 2025-07-10

Source: https://www.modelscope.cn/models/mlx-community/medgemma-27b-it-6bit

---

# mlx-community/medgemma-27b-it-6bit
This model was converted to MLX format from [`google/medgemma-27b-it`]() using mlx-vlm version **0.3.0**.
Refer to the [original model card](https://huggingface.co/google/medgemma-27b-it) for more details on the model.
## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/medgemma-27b-it-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```